docstr: Initialize counterfactuals.
docstr_tok: ["Initialize","counterfactuals","."]
code: def initialize_CFs(
      self, query_instance, init_near_query_instance=False
  ):
      """Initialize counterfactuals."""
      for n in range(self.total_CFs):
          for i in range(len(self.minx[0])):
              if i in self.feat_to_vary_idxs:
                  if init_near_query_instance:
                      self.cfs[n].data[i] = query_instance[i] + (
                          n * 0.01
                      )
                  else:
                      self.cfs[n].data[i] = np.random.uniform(
                          self.minx[0][i], self.maxx[0][i]
                      )
              else:
                  self.cfs[n].data[i] = query_instance[i]
  
imports: import copy
  import random
  import timeit
  import numpy
  import torch
  from dice_ml import diverse_counterfactuals
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 17 for calling the DicePyTorch obj's underlying member method code with example usage: obj.initialize_CFs(query_instance, init_near_query_instance) without return types